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DOI10.1093/jxb/ers205
Identification of QTLs for eight agronomically important traits using an ultra-high-density map based on SNPs generated from high-throughput sequencing in sorghum under contrasting photoperiods
Zou, Guihua; Zhai, Guowei; Feng, Qi; Yan, Song; Wang, Ahong; Zhao, Qiang; Shao, Jianfeng; Zhang, Zhipeng; Zou, Jianqiu; Han, Bin; Tao, Yuezhi
发表日期2012
ISSN0022-0957
EISSN1460-2431
卷号63期号:15
英文摘要The productivity of sorghum is mainly determined by agronomically important traits. The genetic bases of these traits have historically been dissected and analysed through quantitative trait locus (QTL) mapping based on linkage maps with low-throughput molecular markers, which is one of the factors that hinder precise and complete information about the numbers and locations of the genes or QTLs controlling the traits. In this study, an ultra-high-density linkage map based on high-quality single nucleotide polymorphisms (SNPs) generated from low-coverage sequences (similar to 0.07 genome sequence) in a sorghum recombinant inbred line (RIL) population was constructed through new sequencing technology. This map consisted of 3418 bin markers and spanned 1591.4 cM of genome size with an average distance of 0.5 cM between adjacent bins. QTL analysis was performed and a total of 57 major QTLs were detected for eight agronomically important traits under two contrasting photoperiods. The phenotypic variation explained by individual QTLs varied from 3.40% to 33.82%. The high accuracy and quality of this map was evidenced by the finding that genes underlying two cloned QTLs, Dw3 for plant height (chromosome 7) and Ma1 for flowering time (chromosome 6), were localized to the correct genomic regions. The close associations between two genomic regions on chromosomes 6 and 7 with multiple traits suggested the existence of pleiotropy or tight linkage. Several major QTLs for heading date, plant height, numbers of nodes, stem diameter, panicle neck length, and flag leaf width were detected consistently under both photoperiods, providing useful information for understanding the genetic mechanisms of the agronomically important traits responsible for the change of photoperiod.
关键词Agronomically important traitsgenome sequencingphotoperiodQTL mappingSNP mapSorghum bicolor (L) Moench
学科领域Plant Sciences
语种英语
WOS研究方向Plant Sciences
来源期刊JOURNAL OF EXPERIMENTAL BOTANY
来源机构中国科学院西北生态环境资源研究院
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/111670
作者单位Zhejiang Acad Agr Sci, Inst Crop & Nucl Technol Utilizat, State Key Lab Breeding Base Zhejiang Sustainable, Hangzhou 310021, Zhejiang, Peoples R China
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GB/T 7714
Zou, Guihua,Zhai, Guowei,Feng, Qi,et al. Identification of QTLs for eight agronomically important traits using an ultra-high-density map based on SNPs generated from high-throughput sequencing in sorghum under contrasting photoperiods[J]. 中国科学院西北生态环境资源研究院,2012,63(15).
APA Zou, Guihua.,Zhai, Guowei.,Feng, Qi.,Yan, Song.,Wang, Ahong.,...&Tao, Yuezhi.(2012).Identification of QTLs for eight agronomically important traits using an ultra-high-density map based on SNPs generated from high-throughput sequencing in sorghum under contrasting photoperiods.JOURNAL OF EXPERIMENTAL BOTANY,63(15).
MLA Zou, Guihua,et al."Identification of QTLs for eight agronomically important traits using an ultra-high-density map based on SNPs generated from high-throughput sequencing in sorghum under contrasting photoperiods".JOURNAL OF EXPERIMENTAL BOTANY 63.15(2012).
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